ES.w1 {pwr}R Documentation

Effect size calculation in the chi-squared test for goodness of fit

Description

Compute effect size w for two sets of k probabilities P0 (null hypothesis) and P1 (alternative hypothesis)

Usage

ES.w1(P0, P1)

Arguments

P0 First set of k probabilities (null hypothesis)
P1 Second set of k probabilities (alternative hypothesis)

Value

The corresponding effect size w

Author(s)

Stéphane CHAMPELY

References

J. Cohen (1988) Statistical power analysis for the behavioral sciences. Lawrence Erlbaum Associates, publishers.

See Also

pwr.chisq.test

Examples

## Exercise 7.1 p. 249 from Cohen 
P0<-rep(1/4,4)
P1<-c(0.375,rep((1-0.375)/3,3))
ES.w1(P0,P1)
pwr.chisq.test(w=ES.w1(P0,P1),N=100,df=(4-1))

[Package pwr version 1.1 Index]